AI Impact barometer

The AI Impact Barometer is an analytical model developed by the Think Tank and the global Research team at Cushman & Wakefield with the objective of systematically measuring the real impact of Artificial Intelligence on the economy and the real estate environment.

Unlike approaches based on isolated indicators or qualitative analysis, the Barometer integrates a broad set of economic, labor market, investment, and real estate variables to provide a consistent and comparable reading of the progress of AI. Its purpose is to capture not only the existence of change, but also the intensity and direction of that impact.

The Barometer represents the first phase of a broader research initiative, conceived as a dynamic, updatable, and adaptable tool across different markets, capable of evolving as AI adoption becomes more established and diversified within the real economy.

The AI Impact Barometer is structured around four major analytical pillars which, taken together, make it possible to assess how AI is moving from technological experimentation to becoming a core infrastructure of economic activity.

AI Adoption

This pillar analyzes the extent to which AI is being effectively integrated into business and production processes. The focus is not solely on technological development, but on its actual use, frequency, and level of penetration across the economy.

Indicators related to the use of AI tools, the evolution of demand for technological solutions, semiconductor sales, and other key components are analyzed in order to identify when AI transitions from being an experimental element to becoming an integrated part of organizations’ day-to-day operations.

Investment and Capital Markets

Investment is one of the key factors determining whether AI can generate sustained long-term impact. This pillar evaluates whether the growing interest in AI is translating into consistent and durable capital flows.

Variables such as investment in AI-related technology companies, venture capital activity, valuation trends in public markets, and access to financing for digital infrastructure projects are considered. These indicators help assess whether technological momentum is supported by the financial backing required for consolidation.

Labor Market and Productivity

The relationship between AI and employment is one of the most complex and debated aspects. The Barometer analyzes the potential impact of AI on the labor market by observing which sectors are growing, which are contracting, and how hiring expectations evolve relative to sales.

This approach allows for the early detection of structural changes in employment, productivity gains, and wage pressures, providing a more nuanced view than binary approaches focused solely on job destruction or creation.

Digital and Physical Infrastructure

AI requires a physical foundation to operate. This pillar examines how growing digital demand translates into investment in real infrastructure, particularly in data centers and assets with high energy and technological requirements.

Analyzing these indicators makes it possible to connect the digital and real estate worlds, identifying the points at which technological demand begins to generate direct impacts on land, assets, and development decisions.

The AI Impact Barometer is based on the premise that AI has the potential to trigger a new phase of economic growth, driven by productivity improvements, new investments, and structural changes in business models. However, this impact is neither automatic nor guaranteed.

For AI to translate into real and sustained growth, it is essential that technological momentum is accompanied by continuous investment, both in physical and human capital. The Barometer makes it possible to assess whether this process is taking place by analyzing signals such as increased spending on equipment, productivity gains, and wage trends.

At the same time, the analysis acknowledges the existence of risks associated with hype cycles, in which interest in AI may outpace its actual impact. For this reason, the Barometer’s approach combines analytical caution with continuous data monitoring.

One of the main objectives of the AI Impact Barometer is to understand how the advancement of AI is reflected differently across the various segments of the real estate market.

Data Centers

Data centers constitute the fundamental infrastructure of AI. The Barometer shows that demand for this type of asset is directly linked to the level of technological adoption and investment in digital capacity.

Indicators such as pre-leasing levels, capital flows, and development activity make it possible to assess the strength of the cycle. Initial evidence suggests that, despite a significant increase in supply, AI-driven demand remains highly resilient, consolidating data centers as a strategic long-term asset.

Industrial and Logistics

In the industrial and logistics segment, AI acts as an accelerator of pre-existing trends, particularly in automation and operational efficiency. Next-generation assets, developed with greater electrical and technological capabilities, have a clear advantage over more obsolete stock.

The Barometer identifies how demand for spaces capable of supporting automated processes and advanced technologies is reinforcing the polarization between modern assets and those requiring significant investment to remain competitive.

Offices

In the office market, AI contributes to intensifying existing polarization processes. Prime assets, well-located and technologically adaptable, benefit from greater appeal to companies linked to innovation and knowledge-based industries.

In contrast, lower-quality buildings, with technical limitations or secondary locations, face an increasing risk of obsolescence. The Barometer highlights that AI does not generate uniform demand, but rather amplifies differences between submarkets and asset types.

Implications for Investors, Occupiers, and Developers

The AI Impact Barometer provides a valuable tool for strategic decision-making. For investors, it helps identify where AI is generating structural demand and where it is increasing risks. For occupiers, it offers criteria for selecting locations and assets aligned with future technological needs. For developers, it helps anticipate which specifications and capabilities will be critical in new projects.

Integrating the technological dimension and data analysis into real estate decision-making is no longer optional—it is becoming a central element of long-term strategy.

Conclusions

Artificial Intelligence is becoming a structural driver of economic transformation, with deep and uneven impacts across the real estate sector. The AI Impact Barometer demonstrates that the key lies not only in the technology itself, but in how its adoption is supported by investment, infrastructure, and real changes in the economy.

Rather than offering simplistic answers, the Barometer provides a rigorous framework to understand the direction and intensity of change, identifying both opportunities and risks in a rapidly evolving environment. Its value lies not only in its current conclusions, but also in its ability to evolve and adapt to new contexts.